A Multivariate Statistical Analysis of Major Change Patterns and Significant Factors That Influence Graduation Rates: A Case Study at California State University, Long Beach Permalink
Published in ProQuest Dissertations, 2020
Abstract: In 2015 the California State University system launched Graduation Initiative 2025 which aims to eliminate the equity gaps in degree completion and increase the average four-year graduation rate from 19% to 40% and the average six-year graduation rate from 57% to 70%. To support CSULB in meeting these goals, this study focuses on performing a multivariate statistical analysis to determine the effects of major change and various demographic and academic factors on timely graduation. The dataset was obtained from the Department of Institutional Research and Analytics and contained academic and demographic information on first-time freshmen accepted between 2009 and 2012. Due to high multicollinearity, dimensionality reduction was performed using Factor Analysis, and the data were analyzed using a combination of hypothesis testing, correlation analysis, multinomial logistic regression, and Fishers linear discriminant analysis.
Recommended citation: Quan, YB. (2020). "A Multivariate Statistical Analysis of Major Change Patterns and Significant Factors That Influence Graduation Rates: A Case Study at California State University, Long Beach" (Publication No. 28155286)[Masters thesis, California State University, Long Beach.] ProQuest Dissertations and Theses database.